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Table 2 Performance of individual predictors and RPI-SE on RPI369 data set

From: RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information

Predictors Acc(%) TPR(%) TNR(%) PPV(%) MCC(%)
XGBoost 84.54 81.45 90.08 78.87 69.51
SVM 75.63 72.50 83.49 67.61 51.86
ExtraTree 68.66 67.65 72.74 64.51 37.57
RPI-SE 88.44 83.69 95.87 80.85 77.73
  1. The boldface indicates this measure performance is the best among the compared methods
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BMC Bioinformatics

ISSN: 1471-2105

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